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Our team consists of people with vision and passion for what they do. Our employees are our greatest asset and our greatest investment. We are committed to offering continuous training, personal development and support for each team member. On a daily basis, the management of the company, as well as a team of Mental Health scientists, take care of the well-being of every employee and each team on a personal and professional level.&nbsp;As a Revenue Management Analyst you will·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze data to drive RM strategy to maximize RevPAR·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Design and apply the pricing strategy for each hotel·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Monitor the performance and ensure that each hotel meets its budget·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage and track inventory·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze revenue and main business KPIs to provide data-driven recommendations·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Track KPIs and producing reports·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Perform data quality controls to ensure data accuracy·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Monitor competition·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support hotels in the analysis of information and development in relation to RM·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Provide ad-hoc analysis, reports and presentations for top managementEntry Requirements·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; BSc in a related field (e.g., Computer Science, Management Science and Technology, Statistics, Mathematics, Physics or Engineering)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; MSc in Data Science/Business Analytics or similar quantitative field will be considered a plus·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1+ year experience in a similar role within commercial department will be considered a plus·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Excellent analytical skills with a creative approach to solving problems and presenting solutions·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Expertise on SQL and/or Python and/or R·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience using Data Visualization tools (ie Data Studio, Power BI, Tableau etc) to present useful insights·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with IDeaS RMS, Opera PMS, Webhotelier will be considered a plus·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong verbal and written communication skills in both Greek and English language·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understanding of classical machine learning models will be considered a plus·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Excellent organizational skills, emotional intelligence and problem-solving skillsWe offer·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Competitive renumeration package·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Continuous training opportunities (hard &amp; soft skills)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Free Counseling line for our employees and their relatives (mental health &amp; business psychology)

Revenue Management Analyst

We are looking for a highly analytical and commercially driven Sales Intelligence Manager to lead our Sales Intelligence Team. This is a pivotal strategic role, responsible for transforming sales and sell-out data into actionable commercial insights that support business growth, commercial execution and strategic decision-making.“The Sales Intelligence Manager integrates sales and sell-out analytics to transform data into actionable commercial intelligence that drives execution, strategic decisions, and business growth.”The role sits at the intersection of data analytics, commercial strategy and operational execution, ensuring that sales decisions are grounded in accurate, timely and forward-looking insights. You will work closely with Sales, Marketing, Trade Marketing, Finance, Supply Chain, D&amp;T teams and external partners, while leading the development of scalable analytics frameworks, digital enablement and a high-performing, data-driven culture across the commercial organization.&nbsp;What We Offer:<ul><li>Competitive compensation package with a performance-based bonus, aligned with business objectives.</li><li>Continuous learning and development opportunities.</li><li>Private medical insurance, with the option of family coverage.</li><li>Life insurance and preventive medical check-ups</li><li>Pension plan.</li><li>Hybrid working model</li><li>Meal vouchers and company products.</li><li>Recognition and reward programs.</li><li>On-site dining facilities.</li><li>Dedicated parental support programs, including enhanced parental leave, children’s summer camps, childcare support, etc.</li><li>Participation in Corporate Social Responsibility initiatives with a meaningful social and environmental impact.</li><li>Wellbeing initiatives supporting physical and mental health.</li></ul> &nbsp;Responsibilities<ul><li>Lead the delivery of sales intelligence insights, dashboards and analytics that support commercial priorities and strategic business decisions.</li><li>Turn complex data into clear, executive-ready insights for sales and go-to-market decisions.</li><li>Drive improvement initiatives that strengthen sales planning, field force effectiveness, and execution quality.</li></ul><ul><li>Review the impact of key sales and marketing actions and feed learnings into future commercial plans.</li><li>Define, analyze and oversee sales performance KPIs and scorecards, assessing sales force effectiveness and execution quality.</li><li>Provide analytical insight and governance to target setting, performance monitoring, and incentive scheme design, ensuring alignment with commercial priorities and performance drivers, in collaboration with Sales leadership.</li><li>Own the end-to-end sell-out analytics process, from raw distributor data to validated insights and executive decision support.</li><li>Integrate sell-out, sell-in and execution KPIs into a unified market view, ensuring insights are timely, trusted and translated into action.</li><li>Drive the evolution of sales intelligence tools, such as Power BI, in partnership with BI and D&amp;T teams, supporting automation, standardization and continuous improvement.</li><li>Act as the bridge between business and data teams, ensuring data quality, KPI alignment, governance standards and tool priorities.</li><li>Lead, coach and develop the Sales Intelligence team, building a high-performing, collaborative and data-driven team culture.</li></ul>&nbsp;&nbsp;Requirements:<ul><li>Bachelor’s degree, preferably in Business, Computing, Economics, Statistics, Data Analytics or another numeracy-related field. A Master’s degree will be considered an asset.</li><li>5+ years of working experience in similar roles, ideally within Sales Intelligence, Commercial Analytics, Business Intelligence, Performance Analytics or a related field.</li><li>Experience in FMCG or the beverages industry will be considered an asset.</li><li>Solid knowledge of statistical tools/methods and strong experience in data analytics.</li><li>Ability to process large volumes of data and extract meaningful insights, including correlations, statistical differences, extrapolations and estimations.</li><li>Advanced knowledge of MS Office tools, Power BI and Nielsen or similar tools.</li><li>Experience with SAP, CRM or similar commercial/data platforms will be considered an asset.</li><li>Strong analytical thinking, attention to detail, problem-solving skills and results orientation.</li><li>Excellent communication, presentation and stakeholder management skills, with the ability to influence both technical and non-technical audiences.</li><li>Previous team management experience and ability to lead, coach and develop high-performing teams.</li><li>Excellent command of English and Greek, both written and oral.</li></ul>

Sales Intelligence Manager

CrediaBank is seeking a Data and Model Monitoring Expert, to ensure the Group’s compliance with BCBS 239 and RDARR principles by enhancing risk data aggregation, governance and reporting capabilities. This role also supports the continuous monitoring of risk and operational models to ensure data integrity, regulatory alignment and operational resilience with emphasis on Group’s international activities.Responsibilities• Support RDARR Gap Analysis assessment, implement and maintain frameworks aligned with the BCBS 239 principles, focusing on:▪ Governance and infrastructure▪ Risk data aggregation capabilities▪ Risk reporting practices▪ Supervisory review and cooperation• Ensure traceability, auditability and completeness of risk data across systems and business units• Collaborate with IT and data architecture teams to enhance metadatamanagement, data lineage and systems integration• Contribute to the development and enforcement of data governance policies• Develop, monitor and report on data quality KPIs (accuracy, completeness, timeliness)• Support remediation of data issues and promote data stewardship across Group departments• Support supervisory reviews, including targeted RDARR inspections• Maintain a centralised repository of risk data definitions, model metadata• Develop and perform quantitative model monitoring assessments for risk and operational models• Contribute to Group’s model governance and development frameworks updates.Qualifications• Bachelor’s or Μaster’s degree in Risk Management, Data Science, Finance, Statistics or related field• 2–5 years of experience in risk data governance or in model development/monitoring• Strong understanding of BCBS 239 principles and RDARR framework• Proficiency in data tools (SQL, Python, SAS, Power BI) and metadata management• Strong analytical mindset with keen attention to detail and commitment to regulatory compliance• Excellent command of the English language, both written and spoken• Very good computer literacy, with strong use of MS Office• Critical thinking and problem-solving ability• Ability to combine complex information and propose holistic, result-oriented solutions• Excellent communication and negotiation abilities• Ability to work independently and collaboratively in cross-functional teams• Flexibility, adaptability and capability to manage change• Commitment to continuous learning and professional development.

Data and Model Monitoring Expert

WINGS ICT Solutions is looking for a Senior SSIS Data Engineer to join our growing team. Talent will be part of a dynamic team of professionals ranging from Project managers and Software architects to software developers and testers and will be using cuttingedge technologies and methodologies to efficiently and effectively deliver the software.Key responsibilities:<ul><li>&nbsp;Design, develop, and maintain robust ETL processes using SSIS to support data integration and migration projects</li><li>Develop and optimize complex SQL queries, stored procedures, and scripts in MS SQL Server to ensure high performance and data accuracy</li><li>Collaborate with cross-functional teams to analyze data requirements and translate business needs into technical solutions</li><li>Implement and manage SSIS packages, including deployment, scheduling, and monitoring of ETL workflows</li><li>Ensure data quality, integrity, and consistency across multiple systems, particularly within banking-related data environments</li><li>Support data modeling activities and contribute to the design of scalable data architectures</li></ul>Requirements:Educational requirements:<ul><li>BSc in Computer Science, Information Technology, or another relevant field.</li></ul>Desired experience and skills:<ul><li>At least 4 years of experience in data migration projects and SSIS implementations</li><li>Working experience in MS SQL Server/ Oracle</li><li>Ability to design complex SQL queries in MSSQL</li><li>Working experience in design and development of SSIS packages</li><li>Experience with C# in the context of SSIS</li><li>ETL experienceUnderstanding of software applications’ fundamental principles, communication methods, and their impact on users’ experience</li><li>Familiarity with Agile/Waterfall methodologies</li></ul>Other Qualifications:<ul><li>Excellent verbal and written communication skills in English</li><li>Native or fluent Greek, oral and written</li><li>Initiative, strong sense of accountability and ownership of actions</li><li>Effective time management &amp; prioritization</li><li>Analytical mindset and attention to detail</li><li>Agility, enthusiasm, and self-motivation</li></ul>Benefits<ul><li>Highly competitive salary, reviewed upwards on a regular basis, based on performance</li><li>Remuneration based on your experience and skills</li><li>Participation in state-of-the-art and large-scale projects</li><li>Personal and professional development, amongst industry experts</li><li>Continuous learning</li><li>Dynamic team with fresh ideas</li></ul>

SSIS Data Engineer

As part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.Responsibilities:<ul><li>Understand client requirements and business problems with uncertainty, translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/ visualization)</li><li>Support the development and delivery of Data Science &amp; ML solutions, working closely with data science, engineering and operations teams (from data acquisition/manipulation and exploratory analysis, to DS/ML models and interpretation of results)</li><li>Lead a team of 2-4 people, working in a multicultural environment&nbsp;with fixed deadlines and changing priorities</li><li>Provide guidelines on best practices to development teams and ensure high-quality of deliverables</li><li>Communicate solutions &amp; results to senior management and client stakeholders</li><li>Contribute to internal R&amp;D and business development activities through AI &amp; ML expertise</li><li>You will be part of a global team of data scientists, data engineers, and experts in AI &amp; ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries.</li></ul>QualificationWHO WE´RE LOOKING FOR?WHO WE’RE LOOKING FOR?<ul><li>BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University</li><li>At least 4 years of proven working experience in Data Science &amp; ML areas to solve business problems</li><li>Knowledge of Data Science and Machine Learning concepts and algorithms such as Clustering, Regression, Classification, Forecasting, Hyperparameters optimization, NLP, Computer Vision, Speech processing, IoT data modeling, Geospatial data analysis</li></ul>Considered a plus (not a prerequisite):<ul><li>Proficiency in programming languages &amp; Data Science scripting: R / Scala / Julia</li><li>Familiarity with Deep Learning concepts &amp; tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)</li><li>Experience in analytical manipulation and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)</li><li>Visualization tools (Power BI, Tableau)</li><li>Proficiency in Python programming language &amp; Data Science scripting</li><li>Exceptional analytical and critical thinking skills</li><li>Proven experiencein at least one cloud based analytics platform (eg. Databricks, BigQuery, Snowflake, Synapse, Amazon Redshift)</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Understanding of ML lifecycle and hands-on experience with ML Ops</li><li>Working under an Agile Framework with CI/CD principles</li><li>Ability to work as a team player in a multinational project team</li><li>Ability to collaborate with individuals from varying backgrounds and skill-sets (ie Product Managers, Project Managers, Operations, Engineers, etc)</li><li>Ability to travel and gain exposure in multinational companies across a range of industries</li><li>Fluency in Greek and English (verbal and written)</li><li>us.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Senior Data Scientist

As a Platform Technical Lead – Data, MLOps &amp; Virtualization, you will play a key role in ensuring the operational resilience, engineering coherence, and production readiness of critical enterprise platforms across database services, machine learning operations, and virtualization infrastructure.You will lead modernization and transition initiatives across multiple technology towers, balancing operational stability with platform evolution. Acting as a senior technical authority, you will coordinate engineering activities, recovery readiness, infrastructure transitions, and service improvements while ensuring dependencies across platforms are proactively managed.Your role:<ul><li>Lead the operational and engineering roadmap across database platforms, MLOps environments, and virtualization infrastructure.</li><li>Drive the transition from legacy database technologies toward modern platforms such as PostgreSQL, MongoDB, and emerging cloud-native data services while ensuring production stability and service continuity.</li><li>Own the operational readiness and reliability of MLOps platforms, including deployment governance, observability, platform resilience, and coordination with Kubernetes and cloud engineering teams.</li><li>Lead virtualization and infrastructure modernization initiatives, including Hyper-V adoption, VMware transition activities, HPE hardware lifecycle management, and backup/disaster recovery governance.</li><li>Act as the escalation point for critical incidents, complex migrations, disaster recovery testing, service restoration, and major engineering activities across the supported technology towers.</li><li>Ensure platform dependencies across infrastructure, databases, and ML operations are managed proactively and aligned with operational and engineering objectives.</li><li>Coordinate with vendors, infrastructure teams, cloud engineers, and operational stakeholders to ensure platform performance, recoverability, and long-term sustainability.</li><li>Drive continuous improvement initiatives focused on automation, resilience, monitoring, scalability, and operational excellence.</li><li>Contribute to technology transition planning, capacity management, modernization roadmaps, and service improvement strategies.</li><li>Maintain and promote engineering standards, operational governance, and production readiness practices across all managed platforms.</li></ul>Your profile:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).</li><li>8-10 years of experience in enterprise database operations, administration, and migration programs within complex production environments.</li><li>Strong technical expertise across relational and modern data platforms, including technologies such as DB2, PostgreSQL, MongoDB, and cloud-native database ecosystems.</li><li>Hands-on understanding of MLOps and machine learning platform operations, including Kubernetes-based environments and technologies such as Kubeflow, Pachyderm, Ray, Python, and GPU-enabled platforms.</li><li>Strong experience with enterprise virtualization and infrastructure engineering technologies, including Hyper-V, VMware, SCVMM, Azure Arc, HPE Synergy, OneView, and backup/recovery tooling.</li><li>Proven ability to lead complex technology transitions, modernization initiatives, and operational transformation programs.</li><li>Strong understanding of disaster recovery, backup strategies, operational resilience, recoverability testing, and service continuity practices.</li><li>Experience coordinating vendors, infrastructure teams, cloud/platform engineers, and operational stakeholders in enterprise environments.</li><li>Strong analytical, troubleshooting, stakeholder management, and communication skills.</li><li>Ability to balance operational reliability with modernization and platform evolution objectives.</li><li>Fluent in English (written and spoken).</li></ul>

Platform Technical Lead – Data, MLOps & Virtualization

We are looking for a B2B CRM Campaign Manager Lead to join the B2B CRM &amp; Channel Management Hub of our Company.The B2B CRM Campaign Manager Lead will lead the strategy, design, and implementation of customer management tools and campaign orchestration for B2B customers (Customer Value Management). This role is responsible for maximizing customer value across all B2B products through the organization and strategic management of all campaigns. The successful candidate will lead the team of B2B CVM/Campaign Managers to deliver targeted and personalized propositions aimed at improving the effectiveness and efficiency of CRM activities while ensuring an exceptional B2B customer experience (CX).&nbsp;Key Responsibilities<ul><li>Develop the B2B Customer Value Management strategy aligned with business objectives for all B2B products and across all stages of the customer lifecycle.</li><li>Guide CVM/Campaign Managers to drive continuous improvement, high performance, and leverage insights from the overall campaign plan to optimize contact management.</li><li>Utilize data and insights to identify opportunities for churn reduction, optimize Campaign Value Management campaign performance, maximize ROI, enhance customer retention, and improve customer satisfaction.</li><li>Create the B2B contextualization roadmap, ensuring automation and contextualization of existing value management &amp; lifecycle processes, as well as designing new customer journeys.</li><li>Collaborate cross-functionally with Sales, Marketing, Product, and Data teams to deliver personalized offers and experiences.</li><li>Design strategies to grow customer value through advanced clustering, analytics, and contextual campaign management.</li><li>Represent B2B CVM in DT EU projects and strategic initiatives, contributing to business planning and the future joint group strategy for B2B CRM.</li></ul>&nbsp;Required Skills<ul><li>University degree in STEM, Business, Marketing, Economics, or a related field; MBA will be considered a plus.</li><li>4+ years of experience in commercial roles within the telecommunications or technology sector.</li><li>Strong analytical skills in leveraging data for actionable insights.</li><li>Experience with data platforms, marketing automation, or CRM tools.</li><li>Proven experience in designing, specifying, and implementing IT projects.</li><li>Knowledge of systems, understanding of data flows, and business processes.</li><li>Excellent communication and stakeholder management skills.</li><li>Fluency in English (Proficiency level).</li></ul>

B2B CRM Campaign Manager Lead

we are looking for a motivated and self-driving AI Consultant&nbsp; to join a high-impact team delivering AI-powered insights and solutions to public service clients. You’ll support end-to-end AI delivery – from data exploration to data analysis, hypothesis testing, and dashboarding – and contribute directly to translating business needs into tangible data analysis outputs. Ideal for hands-on analysts with strong visualization and AI-enablement skills.Key responsibilities include:<ul><li>Support senior consultants in shaping and delivering AI-driven transformation strategies for public service clients across Europe.</li><li>Contribute to policy and strategy alignment, helping ensure that AI and data solutions address broader public sector priorities and citizen needs.</li><li>Assist in stakeholder engagement and management, including preparation for client workshops, documentation, and progress reporting.</li><li>Translate client challenges into structured problem statements and support the design of AI-enabled consulting interventions (not just technical models).</li><li>Work with data exploration, preparation, and visualization to generate insights that inform strategic and operational decisions.</li><li>Contribute to model assessment, dashboard creation, and performance tracking, while keeping focus on the business implications.</li><li>Actively participate in knowledge sharing, internal capability building, and cross-border collaboration with Accenture teams.</li><li>Develop skills on cloud platforms (Azure, AWS, GCP) and modern AI tools, while building consulting capabilities in public sector transformation and enterprise change.</li></ul>Preferred Experience:<ul><li>Foundational knowledge of cloud and AI concepts, with exposure to at least one major platform (e.g., Azure, AWS, or Google Cloud).</li><li>Interest in project management methodologies like Scrum, Lean Six Sigma, or Agile; any coursework or certifications (e.g., CAPM, PRINCE2 Foundation) are a plus.</li><li>Familiarity with platforms such as Databricks, IBM Watson Studio, or other AI/ML tools through academic projects or internships.</li><li>Awareness of AI governance concepts or participation in university-led AI ethics discussions or readiness assessments.</li><li>Understanding of EU and public sector regulatory and policy environments, with the ability to connect compliance requirements to transformation initiatives.</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>Bachelor’s degree in a relevant field such as Computer Science, Data Science, AI/ML, Engineering, Business, Economics, Public Administration, Political Science, or related disciplines.</li><li>Master’s degree or certifications in Business or AI/ML is preferred</li><li>4–7 years of relevant experience in AI/ML solution development, GenAI use case delivery, product management, or AI architecture</li><li>Experience with European Union Institutions, Bodies and Agencies and / or national authorities</li><li>Excellent proficiency in written and verbal communication in English</li><li>Basic proficiency in Python or R, with exposure to ML libraries such as scikit-learn, TensorFlow, or Hugging Face through academic projects or internships.</li><li>Familiarity with GenAI concepts, prompt engineering, or LLMs is a plus.</li><li>Understanding of AI lifecycle stages and deployment pipelines from coursework or hands-on learning.</li><li>Exposure to cloud environments (Azure, AWS, GCP) via labs, certifications, or university projects.</li><li>Ability to manage delivery workstreams and align multi-stakeholder groups</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive benefits, including a fair and balanced parental leave policy.</li><li>At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people.</li><li>&nbsp;Career coaching and mentorship to help you manage your career and develop professionally.</li><li>&nbsp;Performance Achievement – our performance management process that focuses on your strengths, progress, and career possibilities.</li><li>&nbsp;Fantastic opportunities to develop your career across a variety of clients.</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.</li></ul>

EU Public Sector Consultant (AI & Data)

ACS Athens is seeking an Ed Tech Teacher Coach / Data Analyst to support faculty and the broader school community in the effective use of PowerSchool (SIS) and Schoology (LMS) following their implementation. This role will provide coaching, training, and ongoing system support while also supporting academic leadership through data reporting and analysis.The successful candidate will play a key role in strengthening instructional technology practices, ensuring data accuracy, and supporting schoolwide consistency in teaching, assessment, and communication.&nbsp;Key ResponsibilitiesTeacher Coaching &amp; Professional Learning<ul><li>Coach and support teachers in the effective use of PowerSchool and Schoology for instruction, grading, assessment, and communication. </li><li>Design and deliver individual and group training sessions across divisions. </li><li>Develop clear resources (guides, tutorials, templates, FAQs) to support consistent platform use. </li><li>Collaborate with academic leaders to identify faculty development needs and promote best practices in digital learning. </li></ul>System Support &amp; Platform Optimization<ul><li>Partner with the Technology Office to support platform functionality and continuous improvement. </li><li>Troubleshoot common issues and support workflow efficiency for teachers. </li><li>Support consistency and accuracy of gradebooks, assignments, attendance, and reporting. </li><li>Collect feedback and recommend improvements to academic and technology leadership. </li></ul>Schoolwide Digital Subscriptions Management<ul><li>Manage and oversee schoolwide subscriptions for online platforms and educational technology tools. </li><li>Maintain a current inventory of digital resources, licenses, renewal timelines, and vendor information. </li><li>Coordinate renewal planning and support evaluation of new tools aligned with instructional priorities. </li></ul>Data Analysis &amp; Reporting<ul><li>Generate reports and support academic data analysis using PowerSchool and Schoology tools. </li><li>Support leadership and faculty in using data to inform instruction and student support. </li><li>Ensure data integrity and consistent reporting practices across divisions. </li></ul>Community Support<ul><li>Support students and parents in navigating PowerSchool and Schoology. </li><li>Contribute to orientation sessions and communication materials in collaboration with relevant offices. </li></ul>&nbsp;QualificationsRequired<ul><li>Bachelor’s degree in Education, Educational Technology, or a related field (Master’s preferred). </li><li>3–5 years of teaching experience in a technology-rich environment. </li><li>Strong working knowledge of PowerSchool and/or Schoology (or comparable SIS/LMS systems). </li><li>Demonstrated ability to train and support adults through coaching and professional development. </li></ul>Preferred<ul><li>Experience in instructional coaching, educational technology leadership, or faculty training. </li><li>Experience with data analysis, reporting tools, and academic performance metrics. </li><li>Experience managing digital tools or schoolwide subscriptions. </li></ul>&nbsp;Key Skills &amp; Competencies<ul><li>Strong communication and relationship-building skills. </li><li>Ability to translate technical systems into practical classroom applications. </li><li>Strong organizational skills and attention to detail, especially regarding data accuracy. </li><li>Collaborative, service-oriented mindset and a commitment to continuous improvement. </li><li>Alignment with ACS Athens’ mission and the Conscious Citizenship model. </li></ul>&nbsp;Success Indicators<ul><li>Increased faculty confidence and consistent use of PowerSchool and Schoology. </li><li>Improved efficiency and accuracy in grading, reporting, and communication. </li><li>Well-managed schoolwide subscriptions with clear oversight and timely renewals. </li><li>Positive feedback from teachers, students, and families regarding support and training. </li><li>Increased use of data-informed instructional practices across divisions.</li></ul>

Ed Tech Teacher Coach / Data Analyst

We are looking for a highly skilled Procurement&nbsp;Engineer (SAP)&nbsp;to join our team.Duties and responsibilities:<ul><li>Manage and maintain SAP Master Data, ensuring the accuracy and integrity of material and vendor records</li><li>Create, classify, code, and update material master records for a wide range of products and materials within SAP</li><li>Monitor and improve data quality by identifying duplicates, inaccuracies, missing information, and outdated records</li><li>Manage procurement processes within SAP, including creation and tracking of Purchase Requisitions (PRs) and Purchase Orders (POs)</li><li>Manage and coordinate all project certification packages, including material certificates, supplier documentation, and compliance requirements</li><li>Collaborate with technical and financial departments to ensure alignment of procurement processes through SAP</li><li>Prepare reports and perform spend analysis, cost tracking and budget monitoring</li><li>Enhance and optimize procurement workflows and processes within SAP</li></ul>Job Qualifications and Requirements:<ul><li>Bachelor’s degree in Civil or Mechanical Engineering</li><li>Minimum 3 years of experience in procurement and cost control, preferably in the Construction industry</li><li>Proven working experience with SAP (MM/PS modules) is a prerequisite</li><li>Strong analytical skills with the ability to structure data and control processes</li><li>Excellent command of MS-Office Suite</li><li>Fluency in English (written and oral)</li><li>Excellent organizational skills and attention to detail</li><li>Strong communication and interpersonal skills</li></ul>The Company offers:<ul><li>A competitive compensation package</li><li>Private medical insurance</li><li>Engaging and challenging tasks within large-scale projects</li><li>Opportunities for continuous learning and professional growth</li><li>A positive and collaborative working environment</li><li>Committed to providing a healthy and safe workplace for all team members</li></ul>We are working together, committed to creating a diverse and inclusive environment for all!Social Impact footprint:<ul><li>We contribute to Greece's green transition!</li><li>We support Greek suppliers!</li><li>We achieve near-total recycling. We recycled equivalent to 96.7% of Construction, Demolition, and Excavation Waste.</li><li>We operate responsibly!</li></ul>

Procurement Data Engineer (SAP)

We at&nbsp;Nova, a very young and dynamic team, the 2nd largest telecom provider in Greece, are looking for a motivated CVM Product Manager to join our B2B CRM team and support the design and execution of customer value management initiatives.You have a challenging mission to:&nbsp;Design and optimize data-driven CRM/CVM campaigns that enhance SME customer lifecycle value, drive growth and retention, and translate customer insights into measurable business impact.What will you do:<ul><li>Design, develop, and execute end-to-end CRM/CVM campaigns aligned with business objectives, including audience selection, offer setup, channel selection, and scheduling.</li><li>Develop Business customer segmentation and target strategies based on customer behavior, industry, and commercial opportunities.</li><li>Support SME customer lifecycle activities including acquisition, retention, upsell, cross-sell, churn prevention, and revenue growth initiatives. &nbsp;</li><li>Continuously optimize campaigns and customer segmentation strategies based on business results and customer behavior insights.</li><li>Analyze large customer datasets using IBM SPSS Modeler or other analytical/data mining tools to identify insights and optimization opportunities.</li><li>Monitor campaign performance, track KPIs, and prepare regular and ad hoc reports.</li><li>Collaborate closely with Product, Analytics, Sales, Finance, and IT teams to ensure smooth campaign implementation and alignment with business goals.</li><li>Stay up to date with industry trends, CRM best practices, and developments in telecommunications and customer analytics.</li></ul>&nbsp;It would be nice if you have:<ul><li>3–5 years of experience in CRM/CVM, Analytics, Marketing, Finance, or a related field.</li><li>Bachelor’s degree in Statistics, Mathematics, Marketing, Finance, Computer Science, Business, or a related discipline.</li><li>Strong analytical, business understanding, reporting, and communication skills.</li><li>Experience in data analysis or data mining tools (IBM SPSS Modeler knowledge is a plus).</li><li>Ability to analyze large datasets and translate customer insights into actionable business recommendations.</li><li>Knowledge of B2B/SME customer lifecycle management and commercial campaigns.</li><li>Ability to identify growth opportunities and support revenue-generating initiatives within the SME segment.</li><li>Experience in customer segmentation and value management strategies is considered a plus.</li><li>Results-oriented mindset and ability to work in a fast-paced environment.</li><li>Very good command of the English language.</li><li>Collaborative team player.</li></ul><ul><li>Experience in telecommunications and familiarity with SQL or CRM/campaign management tools are highly appreciated</li></ul>&nbsp;What will you get:<ul><li>Wellness programs to keep yourself fit.</li><li>Mobile voice and data to talk.</li><li>Discounts on Nova Fixed / Mobile / TV for you, friends, family.</li><li>Flexy work from home to balance your life.</li><li>Private Insurance program to check up on your health.</li></ul>

CVM Product Manager

A Data Analyst&nbsp;(Business Intelligence) is responsible for collecting, analyzing, and interpreting data to provide actionable insights that support data-driven decision-making. This role will focus on various aspects of the hotel’s operations, including revenue optimization, and operational efficiency.Applicant’s main accountabilities:<ul><li>Collect and compile data from various sources (property management systems, reservations Platforms, financial reports) to create meaningful reports.</li><li>Develop and maintain regular performance reports on key metrics (occupancy rates, average daily rate, and revenue per available room).</li><li>Monitor and analyze market trends, competitive landscape and pricing strategies of other hotels in Rhodes.</li><li>Assist in the creation of budgets and financial forecasts.</li><li>Provide insights into revenue and cost projections for the hotel’s financial planning.</li><li>Ensure data privacy and security protocols are followed in data handing and reporting. &nbsp;</li></ul>Applicant’s main qualifications:<ul><li>Bachelor’s degree or equivalent in Economics, Statistics, Mathematics, Data science or relevant field.</li><li>Master’s degree or equivalent in Data science, Economics or relevant field would be considered as extra asset.</li><li>Proficiency in data analytics and visualization tools (e.g., Excel, Tableau, Power BI).</li><li>Knowledge of hotel management systems and databases.</li><li>Minimum 2 years’ related experience in similar role.</li><li>Fluency in English; knowledge of other languages is a plus (preferably German).</li></ul>Applicant’s main capabilities &amp; values:<ul><li>Integrity and confidentiality.</li><li>Excellent organizational skills.</li><li>Strong problem-solving and critical-thinking abilities.</li><li>Excellent communication and presentation skills.</li><li>Attention to detail and a commitment to data accuracy.</li></ul>Company information and benefits:The company offers a competitive remuneration package in a dynamic and highly professional working environment. Accommodation, meals and recreational facilities are also provided. Furthermore, educational lectures and personalized training plans are conducted in order to meet employee needs. Finally, a merit-based performance appraisal system is implemented, and a cash bonus is provided per month based on employee performance.

Data Analyst

You will be manager in a team responsible for the overall financial integrity and performance of a country, category, Supply Chain or FP&amp;A. You will support the Senior Manager or Director in data collection to prepare business proposals, verify assumptions, check daily execution and support delivery of overall objectives and ensure the integrity and timeliness of reporting. You may also have a direct report or manage third party providers resources.How you will contributeYou will:<ul><li>Manage and execute aspects of finance planning and performance management process and related financial decisions potentially including Strategic Plan and Annual Contract planning/forecasting, target development, financial performance reporting/analysis, financial modeling and decision support for a focused scope within a region, business unit, country, Supply Chain, Mondelēz International Business Services or Corporate Finance team. You will own data collection and verify data integrity</li><li>Ensure a strong controls and compliance environment in your area of scope and ensure full compliance with our policies</li><li>Help the senior manager and the business prepare critical financial data and insight that enable perspectives for business strategies and decisions</li><li>Lead projects to improve efficiencies and improvements to ways of working and embrace a mindset of continuous improvement</li><li>Contribute to a high-performing Finance team. You will also invest in personal development and the development of Finance peers and drive our Finance talent agenda within the organization, with a focus on local FP&amp;A pipeline</li></ul>What you will bringA desire to drive your future and accelerate your career. You will bring experience and knowledge in:<ul><li>TECHNICAL EXPERTISE in financial planning and performance management including data collection and structuring, analyzing, planning and reporting company financial performance across all financial KPIs and investment decisions and cost management to achieve financial targets</li><li>BUSINESS ACUMEN and understanding of our business, consumer packaged goods industry, and local snacking market dynamics. Relevant experience in a regional/local business</li><li>LEADERSHIP SKILLS including experience with business partnering and communication skills across a large regional or local public company</li><li>GROWTH/DIGITAL MINDSET and the ability to identify/execute opportunities and leverage technology to improve operational efficiency and effectiveness</li><li>INTEGRITY and sound judgement in all decisions and interactions aligned with our values and policies and external regulations</li></ul>

Category Finance FP&A Manager SCE (F/M/X) 167472 

As a&nbsp;Senior Front-end Developer&nbsp;you will be responsible for designing and implementing highly-performant, customized and responsive applications that meet business process and application requirements. The developed and innovative applications will be integrated with back-end services like Data Science, AI or IoT. Your day to day tasks will include participating in the daily scrums, shaping and coding the front-end components of the user stories, unit testing the code and committing it into the repository. As a member of our Centre of Excellence you will work as part of highly skilled teams for local and global clients helping them to achieve their ambitious goals&nbsp;Key Responsibilities:<ul><li>Responsible for designing, building and maintaining responsive front-end web and mobile applications</li><li>Leverage CSS and JavaScript frameworks (Bootstrap, AngularJS, React or Vue) to create dynamic, on-brand and interactive user experiences</li><li>Experience with data visualization and user interfacing features, using JavaScript (such as D3 and/or React.JS)</li><li>Experience with responsive design and grid frameworks for cross-browser compatibility such as Bootstrap or Foundation</li><li>Knowledge of automated code testing, such as unit testing and working with frameworks</li><li>Experience with Git Version Control Software</li><li>Familiar with modern architectures experience (SPAs, serverless, microservices...)</li><li>Basic understanding of UI/UX design concepts and responsive web/mobile design</li><li>Translating designs and wireframes into high quality code material</li><li>Strong critical thinking, analytical and problem-solving skills</li><li>Knowledge of current technology trends, especially in areas like Data Science, AI, IoT</li><li>Demonstrated ability to be a team player</li></ul>QualificationWHO WE´RE LOOKING FOR?&nbsp;<ul><li>A bachelor's degree in Computer Science or related field is essential.</li><li>3+ hands on experience with latest JavaScript (ES) standards and JS technologies, libraries and frameworks, such as ReactJS, Angular, Node.js, Express</li><li>Proficiency in React.js and/or Angular</li><li>Strong understanding of modern HTML, CSS, and responsive design principles</li><li>Experience with component-based architecture and frontend state management (e.g., Redux, NgRx)</li><li>Familiarity with REST/GraphQL API integration and asynchronous data handling</li><li>Knowledge of web performance optimization and best practices for accessibility (WCAG)</li><li>Experience with version control (Git) and modern development workflows (CI/CD, code reviews)</li><li>Exposure to testing frameworks (Jest, Cypress, Jasmine, Karma) for ensuring code quality</li><li>Ability to collaborate with cross-functional teams (designers, back-end engineers, product managers)</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Senior React Developer for Data & AI Solutions

As a Card Business Data &amp; Planning Sr. Specialist, you will use advanced data analysis, reporting, and governance practices to generate actionable insights, ensure compliance, and enhance operational efficiency. You’ll directly support executive decision‑making and drive key strategic initiatives within the card acquiring sector.&nbsp;What your day to day will include:<ul><li>Managing timely, accurate and comprehensive regulatory reporting to the Central Bank, including Blue‑Book submissions, while ensuring full compliance with financial regulations</li><li>Preparing and presenting compelling data insights and strategic recommendations to upper Management, influencing key business decisions through effective data storytelling and analytical rigor</li><li>Analyzing complex business challenges and discrepancies across various services—particularly within acquiring processes—and identifying effective resolutions</li><li>Staying up to date with industry trends and best practices in business and data analysis, proposing relevant initiatives</li><li>Responding to ad‑hoc assignments related to the role’s scope, addressing business needs requiring flexibility, problem‑solving, and cross-functional collaboration</li><li>Identifying and resolving data discrepancies, supporting forecasting updates and budget performance tracking, and preparing business presentations and management reports</li><li>Collaborating with Operations, Finance, Commercial, and Data teams on data validation and insight generation</li></ul>&nbsp;What you’ ll bring:<ul><li>BSc in Business, Data Science, Economics, or related quantitative field</li><li>MSc or relevant certifications (e.g., Data Analytics, BI, Power BI, SQL, Python) considered a plus</li><li>Proven experience in data analysis, business intelligence, and regulatory reporting, ideally within financial services or other highly regulated environments</li><li>Strong proficiency in Power BI (dashboard design, DAX, data modeling) and familiarity with SQL querying; basic exposure to data governance platforms</li><li>Excellent analytical, conceptual, and business-thinking skills, with the ability to translate complex data into clear insights</li><li>Strong verbal and written communication abilities, capable of presenting technical findings to diverse audiences</li><li>Excellent command of MS Office (particularly Excel &amp; PowerPoint) and fluency in Greek and English</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment 🚀</li><li>Competitive salary package and bonus scheme 💸</li><li>Health insurance coverage &amp; Pension Plan 🙏</li><li>State of the art facilities including gym &amp; restaurant 🏢</li><li>Hybrid working model 💻</li><li>Continuous learning with classroom/digital trainings by Allwyn Academy 🎓</li><li>Internal Career Opportunities 💼</li><li>Volunteering opportunities, including 2 extra days off to give back🌱</li><li>Well-Being activities 💪</li><li>Monthly food allowance 🍴</li><li>Exclusive employee discounts across a range of partners 🛍️</li></ul>

Business Planning Sr. Analyst (3927)

Intellectica is recruiting a Senior AI &amp; Data Engineer on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end design and delivery of scalable data and machine learning solutions, aligning technical architecture with business objectives and strategic priorities</li><li>Collaborating globally with data engineers, architects, and business stakeholders to define robust data architecture and modeling requirements</li><li>Developing and optimizing ETL processes to integrate data from multiple sources, ensuring high data quality and reliability</li><li>Adhering to software engineering best practices to deliver maintainable, scalable, and resilient data solutions</li><li>Researching, designing, building, implementing, maintaining, and continuously improving Machine Learning systems</li><li>Communicating complex technical solutions clearly to senior management and diverse stakeholders</li><li>Mentoring junior team members, providing guidance to ensure high-quality deliverables</li><li>Contributing to sales activities through expertise in data and platform architecture</li><li>Staying current with industry trends and contributing to internal initiatives, R&amp;D, and business development projects</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 3 years in data engineering, with a strong emphasis on cloud environments - AWS, GCP, Azure, or Cloud Native platforms</li><li>Proven expertise in designing and managing scalable, end-to-end data pipelines (ADF, Airflow, dbt), across batch, micro-batch, and streaming architectures (e.g., Kafka, Databricks Structured Streaming, StreamSets)</li><li>Strong experience with Big Data platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg, Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery), and Lakehouse architectures (Delta Lake, Apache Hudi), along with solid knowledge of data governance, quality, security, and metadata management (e.g., Unity Catalog, Apache Atlas, Informatica)</li><li>Proficiency in SQL, Python, and PySpark, writing scalable and maintainable code using object-oriented principles, with practical experience in REST API integration and Linux-based environments</li><li>Experience implementing DevOps and MLOps practices, including Git workflows, CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions), containerization and orchestration (Docker, Kubernetes), MLflow, and service mesh/API gateway architectures (e.g., Istio)</li><li>Familiarity with Agile and Waterfall delivery methodologies</li><li>Industry certifications (AWS, Azure, GCP, CNCF/Kubernetes, Databricks) are considered an asset; demonstrable hands-on expertise is equally valued</li><li>Fluency in Greek with professional-level English communication skills</li></ul>&nbsp;&nbsp;Core competencies of a successful candidate:<ul><li>Strong creative problem-solving skills, with a focus on addressing real-world business challenges</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Demonstrated leadership skills, setting clear priorities and driving effective execution</li><li>Proactive, dependable, and results-driven professional mindset</li><li>Willingness and flexibility to travel occasionally as required</li></ul>&nbsp;

Senior AI & Data Engineer

Scorpios is looking for a Data Analyst who will have the accountability of performing analytical procedures in all Revenue streams and Cost centers. The successful applicant will hold a strategic role within Scorpios overseeing daily operations, safeguarding assets and enhancing internal controls.Opportunities For All&nbsp;Scorpios was created to bring diverse communities of people together, and we take the same approach when building our teams. We thrive on differences and believe it is critical to our success as a global company. Scorpios is proud to be an equal opportunity workplace that seeks to recruit, develop and retain the most talented people from a variety of backgrounds, perspectives, and skills. We therefore encourage applications from all genders, races, religions, ages and sexual orientations, as well as parents, veterans, people living with disabilities, and any other groups that could bring diverse perspectives to our business.&nbsp;Responsibilities&nbsp;<ul><li>Extract data from primary and secondary sources</li><li>Remove corrupted data and fix errors and related problems</li><li>Develop and maintain databases and data systems in general</li><li>Reorganize data in readable and presentable format</li><li>Perform analysis to assess quality and meaningful data</li><li>Filter data by reviewing reports and KPIs</li><li>Use statistical tools to identify, analyze and interpret patterns and trends</li><li>Assign numerical values to essential business functions so that business performance can be assessed and compared over periods of time</li><li>Analyze local, national, and global trends that may impact both the organization and the industry</li><li>Prepare reports for the management, states trends, patterns and predictions using relevant data</li><li>Work closely with programmers, engineers, and management heads and identify process improvements, opportunities, propose system modifications and advise data governance strategies</li><li>Prepare final analysis reports for the stakeholders</li><li>Ad hoc analysis on subject matters</li><li>General support of strategic decision making</li></ul>&nbsp;&nbsp;Requirements&nbsp;<ul><li>Working experience in an analytical role for 1 to 3 years in either business analysis or financial analysis or relevant role</li><li>Bachelor in an analytical field</li><li>Post Graduate studies in an analytical or IT field are a considerable asset</li><li>Proficient Knowledge in Structure Query Language (SQL)</li><li>Good knowledge of R or Python statistical programming</li><li>Proficient knowledge of Microsoft Excel</li><li>Good knowledge of Data Visualization tools</li><li>Very good presentation skills</li><li>Very good knowledge of English language.</li><li>European Union Nationality with available working permission</li></ul>&nbsp;Benefits:&nbsp;Scorpios offers a competitive salary with career development opportunities, based on the candidate's qualifications and skills. By joining our team, you will have the opportunity to work in a stimulating and motivating environment which values diversity and is committed towards its employees.Scorpios offers a permanent working contract.

As a&nbsp;Data &amp; AI Senior Consultant you will work closely with our clients, leading and coaching a cross-functional team responsible for the delivery of strategic solutions to empower their Data &amp; AI identity and AI/GenAI ventures. You will drive the design of strategy and guide team members in the end-to-end delivery of such projects.Our Services Include:<ul><li>AI Strategy Development:&nbsp;Tailored roadmaps to integrate AI into your business model.</li><li>Generative AI Solutions:&nbsp;Leverage AI to create content, automate processes, and enhance customer experiences.</li><li>Data Analytics &amp; Insights:&nbsp;Turn data into actionable insights for informed decision-making.</li><li>Value Realization Framework:&nbsp;Identify, measure, and achieve the tangible benefits of AI initiatives, ensuring that investments translate into real-world value.</li></ul>Leading Responsibilities: •&nbsp;&nbsp; &nbsp;Working with industry and business specialists to develop comprehensive Data &amp; AI strategies, including AI assessments, strategy shaping, GenAI solution design, insights generation and more. •&nbsp;&nbsp; &nbsp;Create innovative and differentiated offerings, staying relevant and in sync with market demand and technology evolution. •&nbsp;&nbsp; &nbsp;Deliver consulting services and strategies for Data &amp; AI enabled business change, e.g.: operating models, value realization strategy etc. •&nbsp;&nbsp; &nbsp;Interviewing client staff to understand key issues with how they operate today and identify opportunities for improvement in their operations and AI landscape. •&nbsp;&nbsp; &nbsp;Leveraging Accenture’s international assets and expertise to bring new ideas to clients. •&nbsp;&nbsp; &nbsp;Supporting the development of business cases and implementation roadmaps to support investment decisions. •&nbsp;&nbsp; &nbsp;Working in multi-disciplinary teams to shape, propose, communicate, and implement programs.QualificationWHO WE´RE LOOKING FOR?Consultants<ul><li>Bachelor’s degree in computer science, information systems, or equivalent field.</li><li>3-5 year cross-industry experience in consulting firms or big and international companies.</li><li>Ability and willingness to travel in Greece and internationally.</li><li>Strong understanding of emerging technology trends (Data, AI, GenAI) and impact on both overall enterprise strategy and operating model.</li><li>Experience in developing associated business cases and plans which are detailed, actionable and aligned with industry best practices.</li><li>Good business acumen to find the best way to support key strategic pillar with technology.</li><li>Strong verbal and written communication skills in Greek and English.</li><li>Knowledge of and passion for technology and digital trends.</li><li>Ambition and desire to shine in the newest strategic consultancy environment.</li><li>Demonstrable experience of managing teams of 3-5 people driving strategy work.</li></ul>WHAT´S IN IT FOR YOU? •&nbsp;&nbsp; &nbsp;Competitive benefits, including a fair and balanced parental leave policy. •&nbsp;&nbsp; &nbsp;At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people. •&nbsp;&nbsp; &nbsp;Career coaching and mentorship to help you manage your career and develop professionally. •&nbsp;&nbsp; &nbsp;Performance Achievement – our performance management process that focuses on your strengths, progress, and career possibilities. •&nbsp;&nbsp; &nbsp;Fantastic opportunities to develop your career across a variety of clients. •&nbsp;&nbsp; &nbsp;Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.

Data & AI - Strategy & Consulting Senior Consultant

At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. T he Talent Acquisition Operations Manager is a key leadership role responsible for managing and optimizing the operational aspects of the talent acquisition function supporting candidate onboarding. This position focuses on managing teams across EMEA (primarily Greece, Adria Region, Egypt, UK &amp; Ireland), and overseeing all onboarding activity (from offer through to hire). It involves implementing efficient workflows, driving data-driven insights, and ensuring a seamless candidate experience. The manager collaborates with stakeholders across the organization to align talent acquisition strategies with business objectives. Key Responsibilities: <ul><li>Team Leadership &amp; Development: Lead and mentor a team of TA Operations professionals, across multiple Geos, fostering a culture of innovation, accountability, and professional growth.</li><li>Service Delivery: Working in partnership with the TA team to ensure successful delivery to the Operation - ensuring successful and timely completion and compliance of all onboarding activity including, background checks, contracting, onboarding documentation requirements, payroll activity etc.</li><li>Process Optimization: Continuously review and refine TA processes, workflows, and tools to enhance efficiency, effectiveness, and scalability. Identify opportunities for automation, standardization, and streamlining of operations to improve productivity, enhance efficiency and accuracy, and reduce time-to-fill metrics. Development and implementation of relevant AI tools.</li><li>Data Analysis and Reporting: Develop and maintain recruitment metrics, analytics reports, and dashboards to measure the effectiveness of talent acquisition strategies, track key performance indicators (KPIs), and provide actionable insights. Utilize data-driven approaches to identify trends, optimize processes, and make informed decisions.</li><li>Applicant Tracking System (ATS) Management: Oversee the administration, configuration, and optimization of the applicant tracking system. Ensure data integrity, system updates, and compliance with data privacy regulations. Provide training and support to recruiters and hiring managers on effective use of the ATS.</li><li>Compliance and Policy Adherence: Ensure compliance with relevant labor laws, regulations, and company policies throughout the talent acquisition process. Collaborate with legal and HR teams to establish and update recruitment-related policies, procedures, and practices in alignment with compliance requirements. Collaborate and engage with 3rd party vendors for payroll registrations and with Government authorities for employment registrations where applicable</li><li>Vendor &amp; Budget Management: Strategically manage a portfolio of talent acquisition vendors, negotiating contracts and evaluating performance to ensure maximum value.</li><li>Candidate Experience: Champion a proactive and data-driven approach to enhancing the candidate and hiring manager experience. Implement feedback loops and leverage insights to continuously refine our hiring journey and build our employer brand</li><li>Stakeholder Collaboration: Collaborate closely with Leaders across multiple Departments including TA, HR, Finance, Legal, Operations and other stakeholders to align TA strategies with business objectives. Provide guidance and support on operational aspects, including process improvement, technology adoption, and compliance. Provide regular updates and reports on recruitment activities, challenges, and successes</li><li>Continuous Improvement: Stay updated on industry trends, best practices, and emerging technologies in talent acquisition operations. Proactively identify opportunities to enhance operational efficiency, optimize candidate experience, and drive continuous improvement in recruitment processes.</li></ul> Qualifications and Skills: <ul><li>Extensive experience in talent acquisition, recruitment operations, or a related field, with a focus on process optimization and operational management.</li><li>Experience of managing onboarding, including background check completion, contracting processes, onboarding documentation requirements, etc.</li><li>Leadership experience with strong team management, communication, and stakeholder management skills.</li><li>Experience of working across multiple Geo's within EMEA.</li><li>Experience of working with relevant 3rd party vendors and authorities for the purposes of hiring related registrations</li><li>Strong knowledge of end-to-end recruitment processes, applicant tracking systems (strong preference Workday experience) and recruitment technologies.</li><li>Proficiency in data analysis, metrics reporting, and utilizing recruitment analytics to drive insights and improvements.</li><li>Solid understanding of employment laws, regulations, and compliance best practices.</li><li>Strong project management capabilities, including the ability to lead and execute complex projects with cross-functional teams.</li><li>Strategic mindset with the ability to align operational strategies with talent acquisition and organizational goals.</li><li>Innovative and forward-thinking mindset, staying updated on industry trends and emerging technologies to drive recruitment excellence.</li></ul>

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